Stochastic planning of islanded microgrids with uncertain multi-energy demands and renewable generations

Islanded microgrids (IMGs) are embedded power networks with distributed energy resources (DERs) providing a reliable and flexible energy option for off-grid customers. This work addresses the planning model of renewable-based IMGs feeding multi-energy demands considering investment and emission rela...

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Vydáno v:	IET renewable power generation Ročník 14; číslo 19; s. 4179 - 4192
Hlavní autoři:	Jithendranath, Jayachandranath, Das, Debapriya
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	The Institution of Engineering and Technology 28.12.2020
Témata:	demand side management distributed energy resources distributed power generation embedded power networks emission related objectives energy sources flexible energy option investment islanded microgrids meta‐heuristic multiobjective ant lion optimiser algorithm Monte Carlo approach Monte Carlo methods multienergy dispatch multiobjective optimisers multiple energy demands off‐grid customers optimal mix optimal sizing optimisation power distribution faults power generation dispatch power generation economics power generation planning power generation reliability reliable energy option renewable generations renewable samples renewable‐based IMG Research Article seasonal multienergy demands solar generations solar power stochastic correlated data stochastic planning model stochastic processes uncertain multienergy demands wind generation wind power uncertain multienergy demands power generation planning embedded power networks optimal mix wind generation power distribution faults renewable-based IMG distributed power generation flexible energy option stochastic planning model power generation economics optimisation Monte Carlo methods renewable samples Monte Carlo approach reliable energy option meta-heuristic multiobjective ant lion optimiser algorithm seasonal multienergy demands stochastic processes optimal sizing power generation reliability energy sources solar power distributed energy resources investment renewable generations stochastic correlated data emission related objectives multiple energy demands solar generations multiobjective optimisers power generation dispatch wind power multienergy dispatch islanded microgrids off-grid customers demand side management
ISSN:	1752-1416, 1752-1424
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Shrnutí:	Islanded microgrids (IMGs) are embedded power networks with distributed energy resources (DERs) providing a reliable and flexible energy option for off-grid customers. This work addresses the planning model of renewable-based IMGs feeding multi-energy demands considering investment and emission related objectives. The proposed solution is to determine the optimal mix and sizing of various energy sources in IMG, including renewables; for multiple energy demands. This study also presents a hybrid-scenario and Monte Carlo approach to gauge the uncertainty involved in multi-energy demands, i.e. electrical, heating, and cooling loads; together with correlation among wind and solar generations. The spatial interdependence among renewable generations is implemented using copula; that generates a synthetic set of stochastic correlated data. The combined load scenarios for multi-energy demands and renewable samples are implemented with the proposed hybrid approach in the formulated stochastic planning model. In this work, the formulated problem is proposed to solve using meta-heuristic multi-objective ant lion optimiser algorithm, that is validated on the test system. The superiority of the proposed approach is highlighted in comparison with other multi-objective optimisers. The multi-energy dispatch between associated sources and loads were simulated to show how the obtained capacity can suffice the seasonal multi-energy demands of a typical day considered.
ISSN:	1752-1416 1752-1424
DOI:	10.1049/iet-rpg.2020.0889